# AutoData Systems

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/autodata-systems
- **Dataset:** https://optimly.ai/brand/autodata-systems.json
- **Markdown:** https://optimly.ai/brand/autodata-systems/llms.txt
- **Official website:** https://openreview.net
- **Slug:** autodata-systems
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** Requires minimal human intervention (only natural language instruction), utilizes a robust multi-agent architecture with an oriented message hypergraph, introduces a novel hypergraph cache system for efficient collaboration and token cost mitigation, and demonstrates superior performance compared to baseline methods on benchmark datasets and challenging tasks.
Source: Brand's website (https://openreview.net) · 2026-10-04

- **Description:** AutoData is a novel multi-agent system designed for automated web data collection, leveraging large language models (LLMs) and a robust multi-agent architecture. It aims to efficiently gather high-quality web-sourced datasets with minimal human intervention, addressing the scalability, adaptability, and cost issues of conventional and existing LLM-based data collection methods.
Source: Brand's website (https://openreview.net) · 2026-10-04

## Offerings

- **Core capabilities:**
  - AutoData
  - a multi-agent system for automated web data collection
  - featuring an oriented message hypergraph coordinated by a central task manager and a hypergraph cache system to optimize multi-agent collaboration and mitigate token costs.
Source: Brand's website (https://openreview.net) · 2026-10-04

## Audience

- **Target industry:** Organizations and systems requiring high-quality web-sourced datasets for data-driven applications and AI technologies, with demonstrated applicability across academic, finance, and sports domains for live data collection.
Source: Brand's website (https://openreview.net) · 2026-10-04

Page last updated 2026-10-17.